Machine Intelligence Research - MIR Most-Cited Paper Award in 2023

Machine Intelligence Research (MIR) proudly unveils the recipient of this year's Most-Cited Paper Award. This prestigious acknowledgment is bestowed upon the reviews/research papers that have demonstrated outstanding influence with high citations within the academic community, reflecting the journal's commitment to excellence.

The award-winning papers will be showcased on MIR's website (this opens in a new tab), highlighting their enduring influence and contribution to the scholarly community, and each recipient will be awarded a certificate of appreciation signed by the Editor-in-Chief Tieniu Tan.

About the Award-Winning Papers:

Title: Evolutionary Computation for Expensive Optimization: A Survey

Authors: Li, Jian-Yu; Zhan, Zhi-Hui; Zhang, Jun

Citations: 36

Publication Date: 21 January 2022

Full Text: https://link.springer.com/article/10.1007/s11633-022-1317-4 (this opens in a new tab)

Title: YOLOP: You Only Look Once for Panoptic Driving Perception

Authors: Wu, Dong; Liao, Man-Wen; Zhang, Wei-Tian; Wang, Xing-Gang ; Bai, Xiang; Cheng, Wen-Qing ; Liu, Wen-Yu

Citations: 35

Publication Date: 07 November 2022

Full Text: https://link.springer.com/article/10.1007/s11633-022-1339-y (this opens in a new tab)

Title: Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities: A Survey

Authors: Zhang, Xiao-Qing; Hu, Yan; Xiao, Zun-Jie; Fang, Jian-Sheng; Higashita, Risa; Liu, Jiang 

Citations: 12

Publication Date: 28 May 2022

Full Text: https://link.springer.com/article/10.1007/s11633-022-1329-0 (this opens in a new tab)